Stammdaten

YoMoPie: A User-Oriented Energy Monitor toEnhance Energy Efficiency in Households
Untertitel:
Kurzfassung:

Computational methods for the enhancement of energy efficiency rely on a measurement process with sufficient accuracy and number of measurements. Networked energy meters, energy monitors, serve as vital link between energy consumption of households and key insights that reveal strategies to achieve significant energy savings. During the design of such an energy monitor, several aspects such as data update rate or variety of measured physical quantities have to be considered. This paper introduces YoMoPie, a user-oriented energy monitor based on the Raspberry Pi platform that aims to enable intelligent energy services in households. YoMoPie measures active as well as apparent power, stores data locally, and integrates an easy to use Python library. Furthermore, the presented energy monitor comes with a Python API enabling the execution of user-designed services to enhance energy efficiency in buildings and households. Along with the presented design, possible applications that could run on top of this system such as residential demand response, immediate user feedback, smart meter data analytics, or energy disaggregation are discussed. Finally, a case study is presented, which compares the measurement accuracy of YoMoPie to a certified energy analyser for a selection of common household appliances.

Schlagworte: Smart Metering, Open-Hardware, Demand Response, Data Analytics, NILM, Load Disaggregation
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: 2018 IEEE Conference on Technologies for Sustainability (SusTech)
2018 IEEE Conference on Technologies for Sustainability (SusTech)
zur Publikation
 ( IEEE; )
Erscheinungdatum: 12.11.2018
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 7

Identifikatoren

ISBN: -
ISSN: -
DOI: -
AC-Nummer: -
Homepage: http://mobile.nes.aau.at/publications/klemenjak-2018-yomopie.pdf
Open Access
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Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020  Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 211907 - Energieeinsparung
  • 211908 - Energieforschung
  • 211911 - Nachhaltige Technologien
  • 202022 - Informationstechnik
Forschungscluster
  • Energiemanagement und -technik
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Smart Grids Group

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